Agent-based simulation of city-wide autonomous ride-pooling and the impact on traffic noise

Zwick, Felix; Kuehnel, Nico; Moeckel, Rolf; Axhausen, Kay W.

doi:10.1016/j.trd.2020.102673

Cited by 52 publications

(15 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These findings call for municipalities and public authorities to support ride-pooling among other shared mobility modes as a supplement to classic public transportation with fewer contact exposure. Ride-pooling also promises to reduce vehicle kilometers traveled and its concomitant negative effects if private car trips are replaced [3,4]. In the context of the transport and energy turnaround, it is therefore essential that policies are introduced that help reducing car ownership and usage rates (like parking fees, parking space reduction, or congestion charges).…”

Section: Discussionmentioning

confidence: 99%

Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA

Zwick

Fraedrich²,

Axhausen

2022

IET Intelligent Trans Sys

Self Cite

View full text Add to dashboard Cite

The mobility provider MOIA operates Europe's largest contiguous electric ride-pooling service in Hamburg, representing a testbed of how shared and digitized transport can help foster the transformation of urban mobility. The on-demand service has been in operation since 2019 and was thus affected by the COVID-19 pandemic in 2020. This study shows real-world insights into travel behavior before and during the pandemic, contributing to the empirical evidence on recent mobility behavior. After the application of descriptive statistical analyses, several (spatial) regression models are estimated to understand the relationship between spatial variables and demand. MOIA trip data from three different time periods are used: (a) before the COVID-19 pandemic in summer and autumn 2019, (b) during the time of the first lockdown in Germany in spring 2020, and (c) after the first lockdown in summer and autumn 2020. A significant positive effect on ride-pooling demand is observed for number of inhabitants, workplaces, gastronomic facilities, and at the airport in all time periods. In the course of the pandemic, the main travel patterns remained stable. However, the positive influences of gastronomy and the airport on ride-pooling demand diminished in 2020. In contrast, the impact of hospitals on ride-pooling demand increased in the course of the pandemic. In areas with high car ownership, ride-pooling demand declined compared to pre-pandemic times.

show abstract

Section: Discussionmentioning

confidence: 99%

Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA

Zwick

Fraedrich²,

Axhausen

2022

IET Intelligent Trans Sys

Self Cite

View full text Add to dashboard Cite

show abstract

“…In particular, MATSim's Demand Responsive Transport (DRT) extension is a key software feature that gave MATSim a unique advantage over other available transportation software options considered. This extension enables the simulation of ondemand ride-pooling services [11,15,41], and makes MATSim an excellent choice for a simulation platform for meeting the objectives of our study.…”

Section: Simulation Model Selectionmentioning

confidence: 99%

“…The DRT module configuration file, created specifically for this study, defined the DRT operational characteristics and selected reasonable parameter threshold values based on recommendations from earlier studies and local considerations. For example, studies conducted in Germany [10,11,41,42] used a 30 s stop time duration for pickup and drop off of passengers, Bischoff et al [43] assumed a stop duration of 60 s, and a study conducted by [17] in Wayne County, Michigan, set the stop duration to 105 s. In our study, we set a stop time duration of 60 s for passengers being picked up and dropped off at each stop. The maximum number of passengers per vehicle was set to 4 and the maximum detour time in our study was 8 min.…”

Section: Birmingham Matsim Simulation Modelmentioning

confidence: 99%

See 1 more Smart Citation

Operational Impacts of On-Demand Ride-Pooling Service Options in Birmingham, AL

Salman

Sisiopiku

Khalil

et al. 2023

Future Transportation

View full text Add to dashboard Cite

Transportation Network Companies (TNCs) use online-enabled apps to provide on-demand transportation services. TNCs facilitate travelers to connect with drivers that can offer them rides for compensation using driver-owned vehicles. The ride requests can be for (a) individual or (b) shared rides. The latter, also known as ride-pooling services, accommodates requests of unrelated parties with origins and destinations along the same route who agree to share the same vehicle, usually at a discounted fare. Uber and Lyft offer ride-pooling services in select markets. Compared to individual ride requests, ride-pooling services hold better promise toward easing urban congestion by reducing the number of automobiles on the road. However, their impact on traffic operations is still not fully understood. Using Birmingham, AL as a case study, this research evaluated the impact that ride-pooling services have on traffic operations using a Multi-Agent Transport Simulation (MATSim) model of the Birmingham metro area. Scenarios were developed to simulate baseline conditions (no TNC service) and ride-pooling availability with two types of ride-pooling services, namely door-to-door (d2d) and stop-based (sB) service and three fleet sizes (200, 400, and 800 vehicles). The results indicate that when TNC vehicles are added to the network, the Vehicle Kilometers Traveled (VKT) decrease by up to 5.78% for the door-to-door (d2d) service, and up to 2.71% for stop-based (sB) services, as compared to the baseline scenario (no TNC service). The findings also suggest that an increase in the size of the ride-pooling fleet results in a rise in total ride-pooling service VKT, network-wide total VKT, and detour distance. However, increasing the size of the ride-pooling fleet also results in a decrease in the ride request rejection rates, thus benefiting the customers and decreasing the vehicle empty ratio which, in turn, benefits the TNC drivers. The results further suggest that a fleet of 200 ride-pooling vehicles can meet the current demand for service in the Birmingham region at all times, thus it is the optimal ride-pooling TNC fleet size for a medium-sized city such as Birmingham.

show abstract

“…However, since these results depend on the cost definition of demand rejection, it is necessary to compare the travel time of passengers in D2D-based OSMS with that in MPs-based OSMS in a setting where all demands are accepted. In addition to reducing VKT, it has also been reported that the introduction of MPs can reduce congestion at curbsides [9] and noise [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation Analysis on Benefits of Introducing Meeting Points Into On-Demand Shared Mobility Services

et al. 2022

View full text Add to dashboard Cite

We investigate the benefits of introducing meeting points (MPs) into on-demand shared mobility services (OSMS). OSMS generally provide door-to-door transportation between passengers' origins and destinations. In addition, services using specific pick-up/drop-off locations, which are called as MPs, are also deployed. The operational efficiency of OSMS could be improved by asking passengers to walk to an MP. Previous studies have found that the introduction of MPs can improve operational efficiency in terms of the number of vehicles, the vehicle kilometers traveled (VKT), and the rejection rate of passengers' requests. However, the travel time of passengers (i.e. passenger convenience) has not been sufficiently explored. The introduction of MPs may reduce the average travel time of passengers by reducing the number of detours. We conduct a static analysis under simple settings, and a simulation analysis using actual road network data. The effects of the introducing MPs are evaluated via various configurations such as MP locations, the number of passengers' requests, the number of vehicles, and vehicle capacity. Results showed that the introduction of MPs reduces VKT as well as average travel time of passengers when the number of demands is greater than 200 per hour in the same conditions on service provider.INDEX TERMS Agent-based simulation, meeting points, on-demand shared mobility services, ridesourcing.

show abstract

Agent-based simulation of city-wide autonomous ride-pooling and the impact on traffic noise

Cited by 52 publications

References 35 publications

Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA

Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA

Operational Impacts of On-Demand Ride-Pooling Service Options in Birmingham, AL

Simulation Analysis on Benefits of Introducing Meeting Points Into On-Demand Shared Mobility Services

Contact Info

Product

Resources

About